CN209513640U - A kind of online PCB detection device based on artificial intelligence and deep learning - Google Patents
A kind of online PCB detection device based on artificial intelligence and deep learning Download PDFInfo
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- CN209513640U CN209513640U CN201821914656.4U CN201821914656U CN209513640U CN 209513640 U CN209513640 U CN 209513640U CN 201821914656 U CN201821914656 U CN 201821914656U CN 209513640 U CN209513640 U CN 209513640U
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Abstract
The utility model relates to a kind of online PCB detection device based on artificial intelligence and deep learning, including framework further include that setting is intracorporal in frame: supporter, X-axis driving mechanism, machine capture apparatus and Y-axis driving mechanism；Supporter is equipped in the framework, for placing PCB；It is moved by X-axis driving mechanism along X-direction the bottom of the supporter；Image pickup device is respectively equipped with above and below the supporter, it is respectively used to the obverse and reverse of shooting PCB, the image pickup device is moved by Y-axis driving mechanism along Y direction, the online PCB detection device based on artificial intelligence and deep learning of the utility model, overall structure is simple, production cost is low, the detection to PCB can be automatically performed by image pickup device, and make corresponding judgement, greatly improve the detection efficiency of PCB, recruitment cost is reduced, the production development of enterprise is beneficial to.
Description
Technical field
The utility model relates to a kind of PCB detection devices more particularly to a kind of based on artificial intelligence and deep learning
Online PCB detection device.
Background technique
Pcb board, i.e. printed circuit board are widely used in every field, such as electronics industry, Software Industry now.
And after industrial production production, pcb board needs to carry out various detections, thus guarantee the yields of PCB production, but current inspection
Survey mode is manually to be detected using testing equipment to pcb board, and then whether artificial judgment is qualified again, and not only detection is imitated in this way
Rate is low, while recruitment success is higher, does not meet the long-run development of enterprise.
Utility model content
The utility model aim is for overcome the deficiencies in the prior art and to provide a kind of structure simple, can be automatically performed pair
The detection of PCB, and the high online PCB detection device based on artificial intelligence and deep learning of detection efficiency.
In order to achieve the above objectives, the technical solution adopted in the utility model is: one kind being based on artificial intelligence and deep learning
Online PCB detection device, including framework, further include that setting is intracorporal in frame: supporter, X-axis driving mechanism, machine are clapped
Take the photograph equipment and Y-axis driving mechanism；Supporter is equipped in the framework, for placing PCB；The bottom of the supporter passes through X-axis
Driving mechanism is moved along X-direction；It is respectively equipped with image pickup device above and below the supporter, uses respectively
In the obverse and reverse of shooting PCB, the image pickup device is moved by Y-axis driving mechanism along Y direction.
Preferably, the supporter includes glove block, transmission shaft and conveyer belt；It is provided with accommodation groove in the glove block, is held
The both ends for setting slot are respectively equipped with the transmission shaft in glove block, and the both ends of two transmission shafts pass through conveyer belt phase respectively
Even.
Preferably, the X-axis driving mechanism includes the X-axis bracket and fixed block being oppositely arranged；X-axis is equipped in X-axis bracket
Slide rail, X slide rail are connected with linear motor；The fixed block be equipped with linear guide, the one of above-mentioned supporter bottom
End is arranged on X-axis slide rail, and the other end is arranged in linear guide.
Preferably, the Y-axis driving mechanism includes Y-axis bracket, and Y-axis slide rail is equipped in Y-axis bracket, and Y-axis sliding is led
Rail is connected with linear motor, and Y-axis slide rail is equipped with the camera support that can be slided along Y-axis.
Preferably, there are three cameras to constitute for the image pickup device, and three cameras are arranged on camera support.
It preferably, further include control panel, for controlling linear motor.
Due to the application of the above technical scheme, the utility model has the advantage that compared with prior art
The online PCB detection device based on artificial intelligence and deep learning of the utility model, overall structure
Simply, production cost is low, the detection to PCB can be automatically performed by image pickup device, and make corresponding judgement, significantly
The detection efficiency of PCB is improved, recruitment cost is reduced, is beneficial to the production development of enterprise.
Detailed description of the invention
Technical solutions of the utility model are described further with reference to the accompanying drawing:
Attached drawing 1 is the schematic perspective view of the utility model；
Attached drawing 2 is the schematic diagram of internal structure of the utility model；
Attached drawing 3 is the partial enlarged view in attached drawing 2；
Wherein: 1, framework；2, supporter；5, camera support；6, X-axis bracket；7, fixed block；10, Y-axis bracket；11, phase
Machine；12, control panel;20,PCB；23, glove block；24, transmission shaft；25, conveyer belt.
Specific embodiment
With reference to the accompanying drawing and specific embodiment the utility model is described in further detail.
Refering to attached drawing 1-3, a kind of online PCB based on artificial intelligence and deep learning described in the utility model
Detection device, including framework 1 further include being arranged in framework 1: supporter 2, X-axis driving mechanism, machine capture apparatus and Y-axis
Driving mechanism；It is equipped with supporter 2 in the framework 1, for placing PCB；The bottom of the supporter 2 passes through X-axis driving mechanism
It is moved along X-direction；It is respectively equipped with image pickup device above and below the supporter 2, is respectively used to shoot
The obverse and reverse of PCB, the image pickup device are moved by Y-axis driving mechanism along Y direction.It is specifically used
When, PCB is placed on supporter, then makes inspection automatically to PCB using the image pickup device being located above and below PCB
It surveys, whether qualified, wherein the position of the Y direction of image pickup device can carry out position by Y-axis driving mechanism if judging
Adjustment.
Embodiment as a further preference, the supporter 2 include glove block 23, transmission shaft 24 and conveyer belt 25；Institute
It states and is provided with accommodation groove in glove block 2, the both ends of accommodation groove are respectively equipped with the transmission shaft 24 in glove block 23, two biographies
The both ends of moving axis 24 pass through conveyer belt 25 respectively and are connected, and such PCB is supported effect by two conveyer belts 25 being oppositely arranged.
Embodiment as a further preference, the X-axis driving mechanism include the X-axis bracket 6 and fixed block being oppositely arranged
7；X-axis slide rail (not shown) is equipped in X-axis bracket 7, X slide rail is connected with linear motor (not shown)；
The fixed block 7 is equipped with linear guide (not shown), and one end of above-mentioned 2 bottom of supporter is arranged in X-axis slide rail
On, the other end is arranged in linear guide；Supporter is driven to be moved in X-axis using linear motor, high speed when operation
Stablize.
Embodiment as a further preference, the Y-axis driving mechanism include Y-axis bracket 10, are equipped with Y in Y-axis bracket 10
Axis slide rail (not shown), Y-axis slide rail are connected with linear motor, and Y-axis slide rail is equipped with can be sliding along Y-axis
Dynamic camera support 5, drives camera support to be moved in Y-axis using linear motor, and high speed is stablized when operation.
Embodiment as a further preference, there are three cameras 11 to constitute for the image pickup device, and three cameras 11 are set
It sets on camera support 5, the quantity of camera is not limited to three.
Embodiment as a further preference further includes control panel, so in actual operation, can pass through control plane
Plate controls the work of linear motor.
The online PCB detection device based on artificial intelligence and deep learning of the utility model, overall structure letter
Single, production cost is low, the detection to PCB can be automatically performed by image pickup device, and make corresponding judgement, mentioned significantly
The detection efficiency for having risen PCB, reduces recruitment cost, is beneficial to the production development of enterprise.
The above is only the specific application examples of the utility model, do not constitute any limit to the protection scope of the utility model
System.Any technical scheme formed by adopting equivalent transformation or equivalent replacement, all fall within the utility model rights protection scope it
It is interior.
Claims (6)
1. a kind of online PCB detection device based on artificial intelligence and deep learning, including framework, which is characterized in that also
It is intracorporal in frame including being arranged: supporter, X-axis driving mechanism, machine capture apparatus and Y-axis driving mechanism；It is equipped in the framework
Supporter, for placing PCB；It is moved by X-axis driving mechanism along X-direction the bottom of the supporter；It is described to set
It is respectively equipped with image pickup device above and below rack, is respectively used to the obverse and reverse of shooting PCB, the camera shooting
Equipment is moved by Y-axis driving mechanism along Y direction.
2. the online PCB detection device according to claim 1 based on artificial intelligence and deep learning, feature
Be: the supporter includes glove block, transmission shaft and conveyer belt；Accommodation groove, the both ends of accommodation groove are provided in the glove block
It is respectively equipped with the transmission shaft being located in glove block, the both ends of two transmission shafts are connected by conveyer belt respectively.
3. the online PCB detection device according to claim 1 based on artificial intelligence and deep learning, feature
Be: the X-axis driving mechanism includes the X-axis bracket and fixed block being oppositely arranged；X-axis slide rail, X are equipped in X-axis bracket
Slide rail is connected with linear motor；The fixed block is equipped with linear guide, and one end of above-mentioned supporter bottom is arranged in X-axis
On slide rail, the other end is arranged in linear guide.
4. the online PCB detection device according to claim 1 based on artificial intelligence and deep learning, feature
Be: the Y-axis driving mechanism includes Y-axis bracket, is equipped with Y-axis slide rail, Y-axis slide rail and straight-line electric in Y-axis bracket
Machine is connected, and Y-axis slide rail is equipped with the camera support that can be slided along Y-axis.
5. the online PCB detection device according to claim 1 based on artificial intelligence and deep learning, feature
Be: there are three cameras to constitute for the image pickup device, and three cameras are arranged on camera support.
6. the online PCB detection device according to claim 1 based on artificial intelligence and deep learning, feature
It is: further includes control panel, for controlling linear motor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821914656.4U CN209513640U (en) | 2018-11-20 | 2018-11-20 | A kind of online PCB detection device based on artificial intelligence and deep learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821914656.4U CN209513640U (en) | 2018-11-20 | 2018-11-20 | A kind of online PCB detection device based on artificial intelligence and deep learning |
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| Publication Number | Publication Date |
|---|---|
| CN209513640U true CN209513640U (en) | 2019-10-18 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201821914656.4U Active CN209513640U (en) | 2018-11-20 | 2018-11-20 | A kind of online PCB detection device based on artificial intelligence and deep learning |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109342444A (en) * | 2018-11-20 | 2019-02-15 | 江苏阳铭互联智能系统有限公司 | A kind of online PCB detection device based on artificial intelligence and deep learning |
-
2018
- 2018-11-20 CN CN201821914656.4U patent/CN209513640U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109342444A (en) * | 2018-11-20 | 2019-02-15 | 江苏阳铭互联智能系统有限公司 | A kind of online PCB detection device based on artificial intelligence and deep learning |
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